Answered By: Thomas King Last Updated: Nov 29, 2018 Views: 1
Metadata is 'data about data' or 'data describing other data'. In a data curation context, metadata can be divided into simple metadata that aids findability, such as keywords and disciplinary categorisation; and more in-depth metadata that enhances the possibility of the data being reused, such as detailed descriptions or abstracts, inclusion of details on the instrumentation used to collect the data (such as interview schedules, survey questionnaires, instrument specifications), and codebooks or variable lists.
The more supporting information you provide, the richer the metadata you create will be. This of course needs to be balanced against your time constraints.